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Ciroos, Inc. in India is seeking a QA Automation Engineer with strong networking and distributed-systems expertise to join our on-site team.
You will build automation that tests the limits of complex systems under real-world stress and collaborate with infrastructure, Kubernetes, and distributed networks to break things in staging so they never break in production. You will design scalable testing frameworks for network and system-level validation, automate service-to-service checks, and
Ciroos is an early-stage AI company founded by operators who’ve built businesses from $0 to $5B+. We’re tackling one of the hardest unsolved problems in enterprise technology — and we’re doing it fast. If you want your work to matter, ship quickly, and build alongside people who’ve done this before, you’re in the right place.
Mission That Matters
You're not building features. You're preventing the kind of failures that make headlines. Every engineer at Ciroos works on problems that have a direct line to customer outcomes.
Move Fast. See the Impact.
Early-stage means your work ships quickly. You'll see it in production, hear about it from customers, and iterate — not wait three years for your roadmap to land.
Build With the Best
Our founding team holds 84 patents and has scaled businesses to $5B+. You'll work alongside people who've built and operated systems at scale — and who have strong opinions about how to do it right.
Grow Fast Here
We invest in people who are curious, coachable, and hungry. Our Growth Mindset value isn't a poster on the wall — it's how we operate every day. If you're learning, you're contributing.
Ciroos is built on the belief that the best teams move fast, stay honest, and never stop learning. We’re customer-obsessed in the truest sense — everyone here owns customer problems, not just the people with "customer" in their title. We treat time as a forcing constraint: if something matters, we move on it. We debate hard, disagree openly, and commit fully once a decision is made — because that’s how high-trust teams actually operate. We hire people who ask “what did I learn today?” not “did I avoid making a mistake?” Growth mindset isn’t a value we aspire to — it’s the baseline we hire for. We’re early-stage, which means the work is harder and the stakes are higher. If that sounds like a place you’d thrive, it probably is.
Comprehensive medical, vision, and dental benefits. 401k plans and commuter benefits (US employees). Free lunches, snacks, and top-of-the-line espressos!
Equity
Equity that could change your life, not just look nice on paper. QSBS eligibility for US employees.
Teamwork
Collaborative coworkers with high IQ and high EQ. No politics. No bureaucracy. No permission-seeking.
Stewardship
A career-defining, high-impact role with plenty of mentorship opportunities from founders and other coworkers.
Full time
On-site
Role Overview
We are looking for a QA Automation Engineer with strong networking and distributed-systems expertise who can operate at the intersection of quality, reliability, and system-level testing.
This goes far beyond a traditional QA role. In this role, you’ll build automation that tests the limits of complex systems under real-world stress, network chaos, and massive scale. You will work closely with infrastructure, Kubernetes, and distributed networks to break things in staging so they never break in production.
What You’ll Work On
Kubernetes-based distributed systems and multi-cluster environments
Network-heavy distributed systems and service-to-service communication
L2/L3 networking and cloud networking scenarios
Load balancers, VPCs, routing, DNS and connectivity
Network failures, latency, packet loss and service degradation
Observability and alerting pipelines
Reliability validation and failure-injection testing
API, integration, system and end-to-end automation
Infrastructure and deployment automation
CI/CD pipelines and reliability gates
Key Responsibilities
Design and build scalable automation frameworks for network, API, integration and system-level validation
Build automated tests for service-to-service communication and distributed workflows
Validate system behavior under network failures, latency, packet loss, connectivity issues and partial failures
Develop failure-injection and reliability tests for distributed systems
Validate Kubernetes networking and multi-cluster behavior
Integrate automated validation into CI/CD pipelines
Analyze failures across logs, metrics, traces and network signals
Partner with SRE, Platform and Backend teams to make systems more testable and observable
Perform deep-dive root cause analysis on system and network failures
Build reusable testing utilities and infrastructure
Help establish reliability and quality standards across the platform
Technical Expectations
Networking fundamentals and distributed systems
TCP/IP, DNS, HTTP/HTTPS and service communication
Network failure modes and troubleshooting
Observability and production debugging
Strong Hands-on Experience With
VPCs, load balancers, routing and IAM
Network troubleshooting and debugging
API and integration testing
Programming
Strong coding skills in Python and Go (mandatory)
Experience building automation frameworks and system-level tooling
Proficiency in Shell scripting and infrastructure automation
What Makes This Role Different
You won't just test whether an API returns the expected response. You'll ask:
"What happens when the network behaves badly?"
Can the system detect it?
Can it recover?
Does it fail safely?
Are the right signals generated?
Can we automatically validate that behavior?
That's the kind of QA engineering we're looking for.
About Ciroos
We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Rather than being another observability platform, its goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation.
Our team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you’ll have a front-row seat to shape the future of AI-driven Observability solutions.